Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities

doi:10.1002/rnc.4110

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	Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities
	Liu, Yajuan 1,2; Park, Ju H.2; Guo, Bao-Zhu 3; Fang, Fang 1; Zhou, Funa 4
	2018-09-10
发表期刊	INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
ISSN	1049-8923
卷号	28 期号:13 页码:3893-3908
摘要	In this paper, dissipative synchronization problem for the Markovian jump neural networks with time-varying delay and general transition probabilities is investigated. An event-triggered communication scheme is introduced to trigger the transmission only when the variation of the sampled vector exceeds a prescribed threshold condition. The transition probabilities of the Markovian jump delayed neural networks are allowed to be known, or uncertain, or unknown. By employing delay system approach, a new model of synchronization error system is proposed. Applying the Lyapunov-Krasovskii functional and integral inequality combining with reciprocal convex technique, a delay-dependent criterion is developed to guarantee the stochastic stability of the errors system and achieve strict (Q,S,R)- dissipativity. The event-triggered parameters can be derived by solving a set of linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed design method.
关键词	dissipative synchronization event-triggered control general transition probabilities Markovian jump neural networks
DOI	10.1002/rnc.4110
语种	英语
资助项目	National Natural Science foundation of China[51676068] ; Fundamental Research Funds for the Central Universities[2018MS028] ; National Research Foundation of Korea[2013R1A1A2A10005201]
WOS研究方向	Automation & Control Systems ; Engineering ; Mathematics
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Mathematics, Applied
WOS记录号	WOS:000439507100004
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/33429
专题	中国科学院数学与系统科学研究院
通讯作者	Park, Ju H.
作者单位	1.North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China 2.Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea 3.Acad Sinica, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 4.Henan Univ, Sch Comp & Informat Engn, Kaifeng 475004, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yajuan,Park, Ju H.,Guo, Bao-Zhu,et al. Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities[J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL,2018,28(13):3893-3908.
APA	Liu, Yajuan,Park, Ju H.,Guo, Bao-Zhu,Fang, Fang,&Zhou, Funa.(2018).Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities.INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL,28(13),3893-3908.
MLA	Liu, Yajuan,et al."Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities".INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 28.13(2018):3893-3908.